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introduction to open and collaborative data analysis with pandas and IPython/Jupyter Notebook
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big_apple_py
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pygotham_2015
--room room701 10209 --force
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Marks
Author(s):
Melissa Lewis
Location
Room 701
Date
aug Sun 16
Days Raw Files
Start
10:00
First Raw Start
09:49
Duration
00:55:00
Offset
0:10:28
End
10:55
Last Raw End
11:14
Chapters
00:00
Total cuts_time
37 min.
https://pygotham.org/2015/talks/123/introduction-to-open-and-collaborative-data-analysis-with-pandas-and-ipythonjupyter-notebook
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markdown
Data munging is typically an involved and noisy process, but pandas -- especially using the notebook format -- make it easy to share and reproduce the process of analyzing data, from munging to analysis and even exploratory visualization! In this talk you'll get a glimpse of the pandas workflow and some tips for getting the most out of its use in the IPython/Jupyter notebook.
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production notes
2015-08-16/09_49_32.dv
Apply:
09:49:32 - 10:02:18 ( 00:12:46 )
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09:49:32
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10:02:18
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2015-08-16/10_02_18.dv
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10:02:18 - 10:39:19 ( 00:37:01 )
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10:02:18
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2015-08-16/10_39_19.dv
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10:39:19
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2015-08-16/10_39_19.dv
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